
During October 2025, Asyrovprog developed a comprehensive Voice Chat Demo Application for the microsoft/semantic-kernel repository, focusing on end-to-end voice-enabled interaction. The solution connected microphone input through voice activity detection, speech-to-text, a Semantic Kernel-powered chat flow, and text-to-speech, culminating in real-time audio playback. Leveraging C# and TPL Dataflow, Asyrovprog implemented asynchronous message passing to stream responses, ensuring a seamless conversational experience. The work demonstrated effective integration of audio processing, backend development, and console application skills, resulting in a practical demo that advanced the platform’s voice-first AI capabilities and provided a clear reference for both customers and fellow developers.

October 2025 performance summary for microsoft/semantic-kernel: Delivered a comprehensive Voice Chat Demo Application showcasing end-to-end voice-enabled interaction. The console demo wires microphone input through Voice Activity Detection (VAD), Speech-to-Text (STT), a Semantic Kernel-powered chat flow, Text-to-Speech (TTS), and real-time audio playback, streaming responses via TPL Dataflow to create an interactive experience. This work advances the platform's capabilities for voice-first AI interactions and serves as a practical demo for customers and developers.
October 2025 performance summary for microsoft/semantic-kernel: Delivered a comprehensive Voice Chat Demo Application showcasing end-to-end voice-enabled interaction. The console demo wires microphone input through Voice Activity Detection (VAD), Speech-to-Text (STT), a Semantic Kernel-powered chat flow, Text-to-Speech (TTS), and real-time audio playback, streaming responses via TPL Dataflow to create an interactive experience. This work advances the platform's capabilities for voice-first AI interactions and serves as a practical demo for customers and developers.
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